Welcome to Day 5 of my 30-day AI in Testing series!
Yesterday, we talked about optimizing test cases to make testing more efficient. Today, we’re going to explore how AI helps generate test data, making it faster and easier to create the data you need for testing.
Please checkout my other articles for AI in Testing Series
- Day 1 — Introduction to AI in Software Testing
- Day 2 — AI Driven Test Automation
- Day 3 — AI in Defect Prediction and Risk Analysis
- Day 4 — AI in Test Case Optimization
What is Test Data Generation?
Test data is the information or input used by tests to check if the software behaves correctly. For example, if you’re testing a login screen, you need test data like usernames and passwords. But creating this data manually, especially when you need a lot of it, can be time-consuming and sometimes hard to get right.
This is where AI can help. AI powered test data generation uses algorithms to automatically create realistic, meaningful test data. This means you spend less time making data, and you get higher quality tests as a result.
